{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:27.886877600Z",
     "start_time": "2023-06-14T01:29:27.874909200Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "import warnings\n",
    "\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "rc = {'font.sans-serif': 'SimHei',\n",
    "      'axes.unicode_minus': False}\n",
    "sns.set_theme(style=\"white\", context=\"talk\", font_scale=0.75, rc=rc)\n",
    "\n",
    "PICTURE_PATH=\"../picture/data_visualization/\"\n",
    "FILE_PATH=\"../dataset/satisfaction_v2.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "       id satisfaction_v2  Gender   Customer Type  Age   Type of Travel  \\\n0   11112       satisfied  Female  Loyal Customer   65  Personal Travel   \n1  110278       satisfied    Male  Loyal Customer   47  Personal Travel   \n2  103199       satisfied  Female  Loyal Customer   15  Personal Travel   \n3   47462       satisfied  Female  Loyal Customer   60  Personal Travel   \n4  120011       satisfied  Female  Loyal Customer   70  Personal Travel   \n\n      Class  Flight Distance  Seat comfort  Departure/Arrival time convenient  \\\n0       Eco              265             0                                  0   \n1  Business             2464             0                                  0   \n2       Eco             2138             0                                  0   \n3       Eco              623             0                                  0   \n4       Eco              354             0                                  0   \n\n   ...  Online support  Ease of Online booking  On-board service  \\\n0  ...               2                       3                 3   \n1  ...               2                       3                 4   \n2  ...               2                       2                 3   \n3  ...               3                       1                 1   \n4  ...               4                       2                 2   \n\n   Leg room service  Baggage handling  Checkin service  Cleanliness  \\\n0                 0                 3                5            3   \n1                 4                 4                2            3   \n2                 3                 4                4            4   \n3                 0                 1                4            1   \n4                 0                 2                4            2   \n\n   Online boarding  Departure Delay in Minutes  Arrival Delay in Minutes  \n0                2                           0                       0.0  \n1                2                         310                     305.0  \n2                2                           0                       0.0  \n3                3                           0                       0.0  \n4                5                           0                       0.0  \n\n[5 rows x 24 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>satisfaction_v2</th>\n      <th>Gender</th>\n      <th>Customer Type</th>\n      <th>Age</th>\n      <th>Type of Travel</th>\n      <th>Class</th>\n      <th>Flight Distance</th>\n      <th>Seat comfort</th>\n      <th>Departure/Arrival time convenient</th>\n      <th>...</th>\n      <th>Online support</th>\n      <th>Ease of Online booking</th>\n      <th>On-board service</th>\n      <th>Leg room service</th>\n      <th>Baggage handling</th>\n      <th>Checkin service</th>\n      <th>Cleanliness</th>\n      <th>Online boarding</th>\n      <th>Departure Delay in Minutes</th>\n      <th>Arrival Delay in Minutes</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>11112</td>\n      <td>satisfied</td>\n      <td>Female</td>\n      <td>Loyal Customer</td>\n      <td>65</td>\n      <td>Personal Travel</td>\n      <td>Eco</td>\n      <td>265</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>2</td>\n      <td>3</td>\n      <td>3</td>\n      <td>0</td>\n      <td>3</td>\n      <td>5</td>\n      <td>3</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>110278</td>\n      <td>satisfied</td>\n      <td>Male</td>\n      <td>Loyal Customer</td>\n      <td>47</td>\n      <td>Personal Travel</td>\n      <td>Business</td>\n      <td>2464</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>2</td>\n      <td>3</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>2</td>\n      <td>3</td>\n      <td>2</td>\n      <td>310</td>\n      <td>305.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>103199</td>\n      <td>satisfied</td>\n      <td>Female</td>\n      <td>Loyal Customer</td>\n      <td>15</td>\n      <td>Personal Travel</td>\n      <td>Eco</td>\n      <td>2138</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>2</td>\n      <td>2</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>47462</td>\n      <td>satisfied</td>\n      <td>Female</td>\n      <td>Loyal Customer</td>\n      <td>60</td>\n      <td>Personal Travel</td>\n      <td>Eco</td>\n      <td>623</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>3</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>4</td>\n      <td>1</td>\n      <td>3</td>\n      <td>0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>120011</td>\n      <td>satisfied</td>\n      <td>Female</td>\n      <td>Loyal Customer</td>\n      <td>70</td>\n      <td>Personal Travel</td>\n      <td>Eco</td>\n      <td>354</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>4</td>\n      <td>2</td>\n      <td>2</td>\n      <td>0</td>\n      <td>2</td>\n      <td>4</td>\n      <td>2</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_csv(FILE_PATH)\n",
    "data.head()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:28.117306800Z",
     "start_time": "2023-06-14T01:29:27.885881800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "                  id            Age  Flight Distance   Seat comfort  \\\ncount  129880.000000  129880.000000    129880.000000  129880.000000   \nmean    64940.500000      39.427957      1981.409055       2.838597   \nstd     37493.270818      15.119360      1027.115606       1.392983   \nmin         1.000000       7.000000        50.000000       0.000000   \n25%     32470.750000      27.000000      1359.000000       2.000000   \n50%     64940.500000      40.000000      1925.000000       3.000000   \n75%     97410.250000      51.000000      2544.000000       4.000000   \nmax    129880.000000      85.000000      6951.000000       5.000000   \n\n       Departure/Arrival time convenient  Food and drink  Gate location  \\\ncount                      129880.000000   129880.000000  129880.000000   \nmean                            2.990645        2.851994       2.990422   \nstd                             1.527224        1.443729       1.305970   \nmin                             0.000000        0.000000       0.000000   \n25%                             2.000000        2.000000       2.000000   \n50%                             3.000000        3.000000       3.000000   \n75%                             4.000000        4.000000       4.000000   \nmax                             5.000000        5.000000       5.000000   \n\n       Inflight wifi service  Inflight entertainment  Online support  \\\ncount          129880.000000           129880.000000   129880.000000   \nmean                3.249130                3.383477        3.519703   \nstd                 1.318818                1.346059        1.306511   \nmin                 0.000000                0.000000        0.000000   \n25%                 2.000000                2.000000        3.000000   \n50%                 3.000000                4.000000        4.000000   \n75%                 4.000000                4.000000        5.000000   \nmax                 5.000000                5.000000        5.000000   \n\n       Ease of Online booking  On-board service  Leg room service  \\\ncount           129880.000000     129880.000000     129880.000000   \nmean                 3.472105          3.465075          3.485902   \nstd                  1.305560          1.270836          1.292226   \nmin                  0.000000          0.000000          0.000000   \n25%                  2.000000          3.000000          2.000000   \n50%                  4.000000          4.000000          4.000000   \n75%                  5.000000          4.000000          5.000000   \nmax                  5.000000          5.000000          5.000000   \n\n       Baggage handling  Checkin service    Cleanliness  Online boarding  \\\ncount     129880.000000    129880.000000  129880.000000    129880.000000   \nmean           3.695673         3.340807       3.705759         3.352587   \nstd            1.156483         1.260582       1.151774         1.298715   \nmin            1.000000         0.000000       0.000000         0.000000   \n25%            3.000000         3.000000       3.000000         2.000000   \n50%            4.000000         3.000000       4.000000         4.000000   \n75%            5.000000         4.000000       5.000000         4.000000   \nmax            5.000000         5.000000       5.000000         5.000000   \n\n       Departure Delay in Minutes  Arrival Delay in Minutes  \ncount               129880.000000             129487.000000  \nmean                    14.713713                 15.091129  \nstd                     38.071126                 38.465650  \nmin                      0.000000                  0.000000  \n25%                      0.000000                  0.000000  \n50%                      0.000000                  0.000000  \n75%                     12.000000                 13.000000  \nmax                   1592.000000               1584.000000  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>Age</th>\n      <th>Flight Distance</th>\n      <th>Seat comfort</th>\n      <th>Departure/Arrival time convenient</th>\n      <th>Food and drink</th>\n      <th>Gate location</th>\n      <th>Inflight wifi service</th>\n      <th>Inflight entertainment</th>\n      <th>Online support</th>\n      <th>Ease of Online booking</th>\n      <th>On-board service</th>\n      <th>Leg room service</th>\n      <th>Baggage handling</th>\n      <th>Checkin service</th>\n      <th>Cleanliness</th>\n      <th>Online boarding</th>\n      <th>Departure Delay in Minutes</th>\n      <th>Arrival Delay in Minutes</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129880.000000</td>\n      <td>129487.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>64940.500000</td>\n      <td>39.427957</td>\n      <td>1981.409055</td>\n      <td>2.838597</td>\n      <td>2.990645</td>\n      <td>2.851994</td>\n      <td>2.990422</td>\n      <td>3.249130</td>\n      <td>3.383477</td>\n      <td>3.519703</td>\n      <td>3.472105</td>\n      <td>3.465075</td>\n      <td>3.485902</td>\n      <td>3.695673</td>\n      <td>3.340807</td>\n      <td>3.705759</td>\n      <td>3.352587</td>\n      <td>14.713713</td>\n      <td>15.091129</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>37493.270818</td>\n      <td>15.119360</td>\n      <td>1027.115606</td>\n      <td>1.392983</td>\n      <td>1.527224</td>\n      <td>1.443729</td>\n      <td>1.305970</td>\n      <td>1.318818</td>\n      <td>1.346059</td>\n      <td>1.306511</td>\n      <td>1.305560</td>\n      <td>1.270836</td>\n      <td>1.292226</td>\n      <td>1.156483</td>\n      <td>1.260582</td>\n      <td>1.151774</td>\n      <td>1.298715</td>\n      <td>38.071126</td>\n      <td>38.465650</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>1.000000</td>\n      <td>7.000000</td>\n      <td>50.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>32470.750000</td>\n      <td>27.000000</td>\n      <td>1359.000000</td>\n      <td>2.000000</td>\n      <td>2.000000</td>\n      <td>2.000000</td>\n      <td>2.000000</td>\n      <td>2.000000</td>\n      <td>2.000000</td>\n      <td>3.000000</td>\n      <td>2.000000</td>\n      <td>3.000000</td>\n      <td>2.000000</td>\n      <td>3.000000</td>\n      <td>3.000000</td>\n      <td>3.000000</td>\n      <td>2.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>64940.500000</td>\n      <td>40.000000</td>\n      <td>1925.000000</td>\n      <td>3.000000</td>\n      <td>3.000000</td>\n      <td>3.000000</td>\n      <td>3.000000</td>\n      <td>3.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>3.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>97410.250000</td>\n      <td>51.000000</td>\n      <td>2544.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>4.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>4.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>4.000000</td>\n      <td>5.000000</td>\n      <td>4.000000</td>\n      <td>12.000000</td>\n      <td>13.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>129880.000000</td>\n      <td>85.000000</td>\n      <td>6951.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>5.000000</td>\n      <td>1592.000000</td>\n      <td>1584.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:28.231016200Z",
     "start_time": "2023-06-14T01:29:28.118304200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "            id          satisfaction_v2  Gender      Customer Type  Age  \\\n53304        1  neutral or dissatisfied    Male  disloyal Customer   48   \n122041       2                satisfied  Female     Loyal Customer   35   \n84862        3                satisfied    Male     Loyal Customer   41   \n118265       4                satisfied    Male     Loyal Customer   50   \n87502        5                satisfied  Female     Loyal Customer   49   \n...        ...                      ...     ...                ...  ...   \n34850   129876  neutral or dissatisfied    Male     Loyal Customer   28   \n31333   129877  neutral or dissatisfied    Male     Loyal Customer   41   \n16878   129878  neutral or dissatisfied    Male     Loyal Customer   42   \n38918   129879                satisfied    Male     Loyal Customer   50   \n20597   129880                satisfied  Female     Loyal Customer   20   \n\n         Type of Travel     Class  Flight Distance  Seat comfort  \\\n53304   Business travel  Business             2211             3   \n122041  Business travel  Business              840             2   \n84862   Business travel  Business              879             4   \n118265  Business travel  Business             1932             2   \n87502   Business travel  Business             3512             3   \n...                 ...       ...              ...           ...   \n34850   Personal Travel  Eco Plus             1916             4   \n31333   Personal Travel  Eco Plus             1483             3   \n16878   Personal Travel  Eco Plus             1685             2   \n38918   Personal Travel  Eco Plus             1229             5   \n20597   Personal Travel  Eco Plus             1472             3   \n\n        Departure/Arrival time convenient  ...  Online support  \\\n53304                                   3  ...               5   \n122041                                  2  ...               4   \n84862                                   4  ...               5   \n118265                                  2  ...               5   \n87502                                   3  ...               4   \n...                                   ...  ...             ...   \n34850                                   4  ...               1   \n31333                                   5  ...               2   \n16878                                   5  ...               3   \n38918                                   4  ...               4   \n20597                                   3  ...               5   \n\n        Ease of Online booking  On-board service  Leg room service  \\\n53304                        5                 3                 2   \n122041                       5                 5                 5   \n84862                        3                 3                 3   \n118265                       5                 5                 5   \n87502                        3                 3                 4   \n...                        ...               ...               ...   \n34850                        4                 5                 4   \n31333                        2                 5                 5   \n16878                        3                 3                 4   \n38918                        3                 4                 5   \n20597                        4                 4                 5   \n\n        Baggage handling  Checkin service  Cleanliness  Online boarding  \\\n53304                  5                4            5                5   \n122041                 5                3            5                5   \n84862                  3                4            3                5   \n118265                 5                3            5                4   \n87502                  3                3            3                5   \n...                  ...              ...          ...              ...   \n34850                  4                4            5                4   \n31333                  5                5            4                2   \n16878                  5                4            4                3   \n38918                  5                3            4                3   \n20597                  4                5            4                3   \n\n        Departure Delay in Minutes  Arrival Delay in Minutes  \n53304                            2                       5.0  \n122041                          26                      39.0  \n84862                            0                       0.0  \n118265                           0                       0.0  \n87502                            0                       1.0  \n...                            ...                       ...  \n34850                            2                       3.0  \n31333                            0                       0.0  \n16878                            6                      14.0  \n38918                           31                      22.0  \n20597                            0                       0.0  \n\n[129880 rows x 24 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>id</th>\n      <th>satisfaction_v2</th>\n      <th>Gender</th>\n      <th>Customer Type</th>\n      <th>Age</th>\n      <th>Type of Travel</th>\n      <th>Class</th>\n      <th>Flight Distance</th>\n      <th>Seat comfort</th>\n      <th>Departure/Arrival time convenient</th>\n      <th>...</th>\n      <th>Online support</th>\n      <th>Ease of Online booking</th>\n      <th>On-board service</th>\n      <th>Leg room service</th>\n      <th>Baggage handling</th>\n      <th>Checkin service</th>\n      <th>Cleanliness</th>\n      <th>Online boarding</th>\n      <th>Departure Delay in Minutes</th>\n      <th>Arrival Delay in Minutes</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>53304</th>\n      <td>1</td>\n      <td>neutral or dissatisfied</td>\n      <td>Male</td>\n      <td>disloyal Customer</td>\n      <td>48</td>\n      <td>Business travel</td>\n      <td>Business</td>\n      <td>2211</td>\n      <td>3</td>\n      <td>3</td>\n      <td>...</td>\n      <td>5</td>\n      <td>5</td>\n      <td>3</td>\n      <td>2</td>\n      <td>5</td>\n      <td>4</td>\n      <td>5</td>\n      <td>5</td>\n      <td>2</td>\n      <td>5.0</td>\n    </tr>\n    <tr>\n      <th>122041</th>\n      <td>2</td>\n      <td>satisfied</td>\n      <td>Female</td>\n      <td>Loyal Customer</td>\n      <td>35</td>\n      <td>Business travel</td>\n      <td>Business</td>\n      <td>840</td>\n      <td>2</td>\n      <td>2</td>\n      <td>...</td>\n      <td>4</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>3</td>\n      <td>5</td>\n      <td>5</td>\n      <td>26</td>\n      <td>39.0</td>\n    </tr>\n    <tr>\n      <th>84862</th>\n      <td>3</td>\n      <td>satisfied</td>\n      <td>Male</td>\n      <td>Loyal Customer</td>\n      <td>41</td>\n      <td>Business travel</td>\n      <td>Business</td>\n      <td>879</td>\n      <td>4</td>\n      <td>4</td>\n      <td>...</td>\n      <td>5</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>3</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>118265</th>\n      <td>4</td>\n      <td>satisfied</td>\n      <td>Male</td>\n      <td>Loyal Customer</td>\n      <td>50</td>\n      <td>Business travel</td>\n      <td>Business</td>\n      <td>1932</td>\n      <td>2</td>\n      <td>2</td>\n      <td>...</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>3</td>\n      <td>5</td>\n      <td>4</td>\n      <td>0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>87502</th>\n      <td>5</td>\n      <td>satisfied</td>\n      <td>Female</td>\n      <td>Loyal Customer</td>\n      <td>49</td>\n      <td>Business travel</td>\n      <td>Business</td>\n      <td>3512</td>\n      <td>3</td>\n      <td>3</td>\n      <td>...</td>\n      <td>4</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>5</td>\n      <td>0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>34850</th>\n      <td>129876</td>\n      <td>neutral or dissatisfied</td>\n      <td>Male</td>\n      <td>Loyal Customer</td>\n      <td>28</td>\n      <td>Personal Travel</td>\n      <td>Eco Plus</td>\n      <td>1916</td>\n      <td>4</td>\n      <td>4</td>\n      <td>...</td>\n      <td>1</td>\n      <td>4</td>\n      <td>5</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>5</td>\n      <td>4</td>\n      <td>2</td>\n      <td>3.0</td>\n    </tr>\n    <tr>\n      <th>31333</th>\n      <td>129877</td>\n      <td>neutral or dissatisfied</td>\n      <td>Male</td>\n      <td>Loyal Customer</td>\n      <td>41</td>\n      <td>Personal Travel</td>\n      <td>Eco Plus</td>\n      <td>1483</td>\n      <td>3</td>\n      <td>5</td>\n      <td>...</td>\n      <td>2</td>\n      <td>2</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>4</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>16878</th>\n      <td>129878</td>\n      <td>neutral or dissatisfied</td>\n      <td>Male</td>\n      <td>Loyal Customer</td>\n      <td>42</td>\n      <td>Personal Travel</td>\n      <td>Eco Plus</td>\n      <td>1685</td>\n      <td>2</td>\n      <td>5</td>\n      <td>...</td>\n      <td>3</td>\n      <td>3</td>\n      <td>3</td>\n      <td>4</td>\n      <td>5</td>\n      <td>4</td>\n      <td>4</td>\n      <td>3</td>\n      <td>6</td>\n      <td>14.0</td>\n    </tr>\n    <tr>\n      <th>38918</th>\n      <td>129879</td>\n      <td>satisfied</td>\n      <td>Male</td>\n      <td>Loyal Customer</td>\n      <td>50</td>\n      <td>Personal Travel</td>\n      <td>Eco Plus</td>\n      <td>1229</td>\n      <td>5</td>\n      <td>4</td>\n      <td>...</td>\n      <td>4</td>\n      <td>3</td>\n      <td>4</td>\n      <td>5</td>\n      <td>5</td>\n      <td>3</td>\n      <td>4</td>\n      <td>3</td>\n      <td>31</td>\n      <td>22.0</td>\n    </tr>\n    <tr>\n      <th>20597</th>\n      <td>129880</td>\n      <td>satisfied</td>\n      <td>Female</td>\n      <td>Loyal Customer</td>\n      <td>20</td>\n      <td>Personal Travel</td>\n      <td>Eco Plus</td>\n      <td>1472</td>\n      <td>3</td>\n      <td>3</td>\n      <td>...</td>\n      <td>5</td>\n      <td>4</td>\n      <td>4</td>\n      <td>5</td>\n      <td>4</td>\n      <td>5</td>\n      <td>4</td>\n      <td>3</td>\n      <td>0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>129880 rows × 24 columns</p>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.sort_values('id')\n",
    "data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:28.337718300Z",
     "start_time": "2023-06-14T01:29:28.230005500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 600x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#客户满意度分布情况\n",
    "tmp = data['satisfaction_v2'].value_counts()\n",
    "fig = plt.figure(figsize=(6,6))\n",
    "plt.pie(tmp.values,\n",
    "        labels=tmp.index,\n",
    "        autopct='%1.1f%%',\n",
    "        counterclock=False,\n",
    "        startangle=90,\n",
    "        )\n",
    "plt.savefig(PICTURE_PATH+'客户满意度分布情况.png', dpi=100, bbox_inches='tight')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:28.522224300Z",
     "start_time": "2023-06-14T01:29:28.322757600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [],
   "source": [
    "#不同满意度乘客中的基本情况\n",
    "tmp = data.groupby(['satisfaction_v2','Gender']).agg({'Class':'count'}).reset_index()\n",
    "unit_topics = tmp['satisfaction_v2'].unique()\n",
    "As = tmp.query('Gender == \"Female\"')['Class'].tolist()\n",
    "Bs = tmp.query('Gender == \"Male\"')['Class'].tolist()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:28.569098300Z",
     "start_time": "2023-06-14T01:29:28.523222200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(range(len(As)), As, color=\"#D6E3B7\", label='Female')\n",
    "plt.bar(range(len(Bs)), Bs, bottom = As, color=\"#95A96A\", label='Male')\n",
    "ax = plt.subplot()\n",
    "ax.set_xticks(range(len(unit_topics)))\n",
    "ax.set_xticklabels(unit_topics)\n",
    "ax.set_ylabel(\"Number\")\n",
    "plt.legend()\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 中文字体设置-黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决保存图像是负号'-'显示为方块的问题\n",
    "plt.title('不同满意度的乘客中男女人数')\n",
    "plt.savefig(PICTURE_PATH+'不同满意度的乘客中男女人数.png', dpi=100, bbox_inches='tight')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:28.987001100Z",
     "start_time": "2023-06-14T01:29:28.570096Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [],
   "source": [
    "tmp1 = data.groupby(['satisfaction_v2','Type of Travel']).agg({'Class':'count'}).reset_index()\n",
    "unit_topics = tmp1['satisfaction_v2'].unique()\n",
    "As = tmp1[tmp1['Type of Travel'] == 'Business travel']['Class'].tolist()\n",
    "Bs = tmp1[tmp1['Type of Travel'] == 'Personal Travel']['Class'].tolist()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:28.987997500Z",
     "start_time": "2023-06-14T01:29:28.987001100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(range(len(As)), As, color=\"#D6E3B7\", label='Business travel')\n",
    "plt.bar(range(len(Bs)), Bs, bottom = As, color=\"#95A96A\", label='Personal Travel')\n",
    "ax = plt.subplot()\n",
    "ax.set_xticks(range(len(unit_topics)))\n",
    "ax.set_xticklabels(unit_topics)\n",
    "ax.set_ylabel(\"Number\")\n",
    "plt.legend()\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 中文字体设置-黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决保存图像是负号'-'显示为方块的问题\n",
    "plt.title('不同满意度的乘客中旅行类型的人数')\n",
    "plt.savefig(PICTURE_PATH+'不同满意度的乘客中旅行类型的人数.png', dpi=100, bbox_inches='tight')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:29.262263Z",
     "start_time": "2023-06-14T01:29:28.987001100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp2 = data.groupby(['satisfaction_v2','Class']).agg({'Type of Travel':'count'}).reset_index()\n",
    "unit_topics = tmp2['satisfaction_v2'].unique()\n",
    "As = tmp2[tmp2['Class'] == 'Business']['Type of Travel'].tolist()\n",
    "Bs = tmp2[tmp2['Class'] == 'Eco']['Type of Travel'].tolist()\n",
    "Cs = tmp2[tmp2['Class'] == 'Eco Plus']['Type of Travel'].tolist()\n",
    "c_bottom = np.add(As, Bs)\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.bar(range(len(As)), As, color=\"#D6E3B7\", label='Business')\n",
    "plt.bar(range(len(Bs)), Bs, bottom = As, color=\"#95A96A\", label='Eco')\n",
    "plt.bar(range(len(c_bottom)), Cs, bottom = c_bottom, color=\"#869E7A\", label='Eco Plus')\n",
    "ax = plt.subplot()\n",
    "ax.set_xticks(range(len(unit_topics)))\n",
    "ax.set_xticklabels(unit_topics)\n",
    "ax.set_ylabel(\"Number\")\n",
    "plt.legend()\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 中文字体设置-黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决保存图像是负号'-'显示为方块的问题\n",
    "plt.title('不同满意度的乘客中乘坐不同旅行舱位的人数')\n",
    "plt.savefig(PICTURE_PATH+'不同满意度的乘客中乘坐不同旅行舱位的人数.png', dpi=100, bbox_inches='tight')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:29.631600300Z",
     "start_time": "2023-06-14T01:29:29.264259Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "乘客满意度为 neutral or dissatisfied 的人群的平均年龄是 37.47 \n",
      "乘客满意度为 satisfied 的人群的平均年龄是 41.05 \n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 1200x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.hist(data['Age'], color='#869E7A')\n",
    "plt.xlabel('年龄')\n",
    "plt.ylabel('频率')\n",
    "plt.title('乘客的年龄分布图')\n",
    "plt.savefig(PICTURE_PATH+'乘客的年龄分布图.png', dpi=100, bbox_inches='tight')\n",
    "tmp4 = data.groupby('satisfaction_v2').agg({'Age':'mean'}).reset_index()\n",
    "for i,j in zip(tmp4['satisfaction_v2'],round(tmp4['Age'],2)):\n",
    "    print('乘客满意度为 {} 的人群的平均年龄是 {} '.format(i,j))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:30.158191200Z",
     "start_time": "2023-06-14T01:29:29.631600300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1200x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.hist(data['Flight Distance'], bins=50, color='#869E7A')\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 中文字体设置-黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决保存图像是负号'-'显示为方块的问题\n",
    "plt.xlabel('飞行距离')\n",
    "plt.ylabel('频率')\n",
    "plt.title('乘客的飞行距离分布图')\n",
    "plt.savefig(PICTURE_PATH+'乘客的飞行距离分布图.png', dpi=100, bbox_inches='tight')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:30.696750500Z",
     "start_time": "2023-06-14T01:29:30.143231200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1800x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#乘客对于各服务的平均满意度\n",
    "data_new= data[['Inflight wifi service',\n",
    "       'Departure/Arrival time convenient', 'Ease of Online booking',\n",
    "       'Gate location', 'Food and drink', 'Online boarding', 'Seat comfort',\n",
    "       'On-board service', 'Leg room service','Baggage handling', 'Checkin service',\n",
    "       'Inflight entertainment', 'Cleanliness']]\n",
    "tmp5= round(data_new.mean(),2)\n",
    "xdata = tmp5.index\n",
    "ydata = tmp5.values\n",
    "plt.figure(figsize=(18,6))\n",
    "plt.bar(xdata, ydata, color=\"#869E7A\")\n",
    "plt.xticks( rotation=90)\n",
    "for a, b in zip(xdata,ydata):\n",
    "    plt.text(a, b, b, ha='center', va='bottom')\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 中文字体设置-黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决保存图像是负号'-'显示为方块的问题\n",
    "plt.title('乘客对于公司各服务的平均满意度')\n",
    "plt.savefig(PICTURE_PATH+'乘客对于公司各服务的平均满意度.png', dpi=100, bbox_inches='tight')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    },
    "ExecuteTime": {
     "end_time": "2023-06-14T01:29:31.264246800Z",
     "start_time": "2023-06-14T01:29:30.678798800Z"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
